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Article
Modified lesk algorithm for word sense disambiguation in Bengali
This article presents a novel approach towards solving the problem of Word Sense Disambiguation (WSD) for Bengali Text. The algorithm used in this work is a modification of Lesk Algorithm. In the original algo...
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Article
Performance Evaluation of Part-of-Speech Tagging for Bengali Text
In this paper, it has been proposed an approach to assess the performance of part-of-speech tagging of the Bengali text. The tagging can be viewed as a process of interpreting a syntactic category for tokens i...
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Article
Deep learning based Bengali question answering system using semantic textual similarity
Recently, Question answering system is a major research area in language processing. Bengali isone of the most popular spoken languages in India. Still, it has faced difficulties in natural language processing...
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Article
An improvement of Bengali factoid question answering system using unsupervised statistical methods
Virtual Assistants (VA) and Chatbots have boosted the pace of research in Question Answering (QA) system. QA systems are supposed to return the answers of the questions by processing the backend repository. Al...
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Article
In search of a suitable method for disambiguation of word senses in Bengali
The paper presents a study on word sense disambiguation (WSD) in Bengali, one of the less resourced Indian languages. The overall work is carried out in two sequential phases. In the first phase, four well-kno...
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Chapter and Conference Paper
Clinical Decision Support System Using Fuzzy Logic Programming and Data Analysis
Clinical decision support systems (CDSS) are intelligent systems, developed to assist physicians for taking crucial decisions. This work proposes a hybrid architecture for a CDSS using a rule base and a data-d...
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Article
A novel approach to word sense disambiguation in Bengali language using supervised methodology
An attempt is made in this paper to report how a supervised methodology has been adopted for the task of Word Sense Disambiguation (WSD) in Bengali with necessary modifications. At the initial stage, four comm...
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Article
Word Sense Disambiguation in Bengali language using unsupervised methodology with modifications
In this work, Word Sense Disambiguation (WSD) in Bengali language is implemented using unsupervised methodology. In the first phase of this experiment, sentence clustering is performed using Maximum Entropy me...
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Article
Word Sense Disambiguation in Bangla Language Using Supervised Methodology with Necessary Modifications
An attempt is made in this paper to report how a supervised methodology has been adopted for the task of word sense disambiguation in Bangla with necessary modifications. At the initial stage, the Naïve Bayes ...
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Chapter and Conference Paper
Improvement of Electronic Governance and Mobile Governance in Multilingual Countries with Digital Etymology Using Sanskrit Grammar
With huge improvement of digital connectivity (Wifi, 3G, 4G) and digital devices access to internet has reached in the remotest corners now a days. Rural people can easily access web or apps from PDAs, laptops...
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Chapter and Conference Paper
Word Sense Disambiguation in Bengali: An Auto-updated Learning Set Increases the Accuracy of the Result
This work is implemented using the Naïve Bayes probabilistic model. The whole task is implemented in two phases. First, the algorithm was tested on a dataset from the Bengali corpus, which was developed in the...
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Chapter and Conference Paper
Unsupervised Text Classification Using Kohonen’s Self Organizing Network
A text classification method using Kohonen’s Self Organizing Network is presented here. The proposed method can classify a set of text documents into a number of classes depending on their contents where the n...